DevOps isn’t just Docker + Kubernetes.
If you want to become job-ready in DevOps, learn these in order:
Linux fundamentals
- Networking: DNS, HTTP, TCP/IP, Load Balancers
- Git + GitHub workflows
- Bash / Shell scripting
- Docker
- CI/CD: GitHub Actions, Jenkins, GitLab CI
- Cloud: AWS / Azure / GCP
- Infrastructure as Code: Terraform
- Kubernetes
- Monitoring & Logging: Prometheus, Grafana, ELK
- Security: Secrets, IAM, SSL, vulnerability scanning
- Incident response + debugging production issues
Most people jump directly to Kubernetes.
But a DevOps engineer who can debug Linux, networking, logs, and deployments will always be more valuable than someone who only knows kubectl apply.
What would you add to this list?
Most engineers overcomplicate locking.
Here’s the truth:
Optimistic Lock → Application-level control
Pessimistic Lock → Database-level control
Optimistic = let everyone edit, check for conflicts on save.
(Think Google Docs.)
Pessimistic = block everyone else until you’re done.
(Think library book.)
Rule of thumb
If retry is cheap → use Optimistic
If retry is expensive → use Pessimistic
The Rio 3.5 model broke the internet this week. The plot twist? It’s essentially our open-source model, Nex N2 Pro, wearing a different hat.
🤯 We analyzed the weights, and the recipe is exact: Rio 3.5 ≈ 0.6 * Nex N2 Pro + 0.4 * Qwen 3.5
It even literally introduces itself as "Nex N2 Pro" if you ask it without initial system prompt!
😂 We are flattered that the City of Rio used our work to achieve SOTA performance. Thanks for the ultimate benchmark validation.
🤝 But in the open-source world, attribution matters.
👇 Full mathematical proof & verify script in the first reply!
Brazil Law: All OS's Have 13 Days to Add Age Verification
A new law, in Brazil, requires age verification on all Operating Systems (including Linux & Windows) by March 17th. Plus a rundown on similar laws in California, Colorado, and New York.
🚨This Python framework scrapes ANY website and extracts structured data in minutes.
It's called Scrapy and it crawls and extracts structured data from any website entirely from your own machine.
No SaaS scraping bills. No cloud API limits. No data leaving your infrastructure.
It's powered by Python's most battle-tested crawling engine with 59K stars and 15+ years of production use.
→ Define your spider once
→ Get clean structured data
→ Scale to millions of pages
→ Export to JSON, CSV, XML instantly
All running locally. Zero cloud dependency.
But it's not just a scraping script.
It's a full data extraction framework:
→ Async architecture for parallel crawling at scale
→ Built-in middleware for proxies, retries, and rate limiting
→ CSS and XPath selectors with zero boilerplate
→ Pluggable pipelines for cleaning, deduplication, and storage
→ 54,800+ production projects already depend on it
100% Opensource. BSD-3 License.
Works on macOS, Windows, and Linux right now.
This is the moment web scraping stops being a SaaS subscription and starts running on your own terms.
Link in the first comment 👇
🚨Fiquem atentos para este novo golpe, recebi esta
mensagem hoje, e na hora ja me liguei que era golpe.
Não respondam nada que te mandarem por zap ou qualquer outra mídia social.
Se você chamou o concierge no zap ou mandou email, ok podem responder as perguntas, mas NUNCA receber um mensagem do nada deles, blz 👍
Fiquem atentos e vigiem 🙌👊
@KASTxyz @KAST_Fillipe
O Gemini 3.0 refatorou todo o meu código em um único prompt.
25 invocações de ferramentas. Mais de 3.000 linhas novas. 12 arquivos totalmente novos.
Ele modularizou tudo. Desfez os monolitos. Limpou a bagunça.
Nada funcionou.
Mas foi lindo.
Saiu agora um release do Immich (um Google Photos software livre que você hospeda em casa)! Ele dá a opção de mostrar, sobre a foto, o que ele detectou de palavras (com OCR), que é usado na busca, e permite copiar o texto!
Legal demais!